Skip to content

replicating Naive Bayes algorithms from scratch that # Restrict to only categorical features # Give an error message if continuous features are provided # Function must have at least three parameters: Train, Test, Classification variable # Output produces predicted probability and classification #Use Titanic data to predict survival.

Nemshan/Naive-Bayes-algorithm-From-Scratch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Naive-Bayes-algorithm-From-Scratch

replicating Naive Bayes algorithms from scratch that # Restrict to only categorical features # Give an error message if continuous features are provided # Function must have at least three parameters: Train, Test, Classification variable # Output produces predicted probability and classification #Use Titanic data to predict survival.

About

replicating Naive Bayes algorithms from scratch that # Restrict to only categorical features # Give an error message if continuous features are provided # Function must have at least three parameters: Train, Test, Classification variable # Output produces predicted probability and classification #Use Titanic data to predict survival.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published